Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）

Skip-Gram Model From Scratch

Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).

We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.

This project focus on building different machine learning models to make predictions on employee attrition and performance

Category transformation

A model for predicting the selling price of a used car using machine learning algorithms. This model is deployed in the Heroku Cloud Platform.

Convert a unstructured array into a stuctured dataframe.

Encoding: converting categorical data into a numerical data

Bank Institution Term Deposit Predictive Model

Diacritics are short vowels with a constant length that are spoken. The same word in the Arabic language can have different meanings and different pronunciations based on how it is diacritized. In this project, we implement a pipeline to predict the diacritic of each character in an Arabic text using Natural Language Processing techniques.

Modeling King County Home Prices via Multiple Linear Regression

In this project we predict the forest cover type using the cartographic variables in the training/test datasets.

A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.

Implementing Semantic Segmentation on Satellite images using U-Net architecture

Deep Learning -Artificial Neural Network

This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.

Feature Engineering with Python